Weipeng Zhuo
- Computer Vision and Pattern Recognition top 2%
- Industrial and Manufacturing Engineering top 2%
- Plant Science top 10%
- Aerospace Engineering top 10%
- Media Technology top 5%
- Topics
- Indoor and Outdoor Localization Technologies (8 papers)Advanced Neural Network Applications (2 papers)Anomaly Detection Techniques and Applications (2 papers)
- Cited by
- Computer Vision and Pattern RecognitionIndustrial and Manufacturing EngineeringMedia Technology
- Journals
- Journal of the American Academy of DermatologyIEEE Transactions on Mobile ComputingProceedings of the VLDB Endowment
- Partner nations
- Hong KongUnited StatesChina
In The Last Decade
Weipeng Zhuo
11 papers receiving 1.2k citations
Hit Papers
Peers
Comparison fields: 5 of 117
- Computer Vision and Pattern Recognition 628
- Industrial and Manufacturing Engineering 226
- Plant Science 193
- Aerospace Engineering 160
- Media Technology 133
Countries citing papers authored by Weipeng Zhuo
This map shows the geographic impact of Weipeng Zhuo's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Weipeng Zhuo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Weipeng Zhuo more than expected).
Fields of papers citing papers by Weipeng Zhuo
This network shows the impact of papers produced by Weipeng Zhuo. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Weipeng Zhuo. The network helps show where Weipeng Zhuo may publish in the future.
Co-authorship network of co-authors of Weipeng Zhuo
This figure shows the co-authorship network connecting the top 25 collaborators of Weipeng Zhuo. A scholar is included among the top collaborators of Weipeng Zhuo based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Weipeng Zhuo. Weipeng Zhuo is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 24 | |
| 5 | 5 | |
| 6 | Run, Don't Walk: Chasing Higher FLOPS for Faster Neural Networksbreakdown → | 1161 |
| 7 | 4 | |
| 8 | 8 | |
| 9 | 22 | |
| 10 | 8 | |
| 11 | 17 | |
| 12 | 10 |
About Weipeng Zhuo
Weipeng Zhuo is a scholar working on Transportation, Signal Processing and Computer Science Applications, having authored 12 papers that have together received 1.3k indexed citations. Recurring topics across this work include Indoor and Outdoor Localization Technologies (8 papers), Advanced Neural Network Applications (2 papers) and Anomaly Detection Techniques and Applications (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (628 citations), Industrial and Manufacturing Engineering (226 citations) and Media Technology (133 citations). Weipeng Zhuo has collaborated with scholars based in Hong Kong, United States and China. Frequent co-authors include S.-H. Gary Chan, Jierun Chen, Hao He, Wen Song, Chul‐Ho Lee, Sangtae Ha, Guanyao Li, Li Ma, Yang Liu and Mengyun Liu. Their work appears in journals such as Journal of the American Academy of Dermatology, IEEE Transactions on Mobile Computing and Proceedings of the VLDB Endowment.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.